The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Visual aids and structured criteria for improving visual inspection and interpretation of single-case designs
Open accessAbstract
Because behavior analysis is a data-driven process, a critical skill for behavior analysts is accurate visual inspection and interpretation of single-case data. Study 1 was a basic study in which we increased the accuracy of visual inspection methods for A-B designs through two refinements of the split-middle (SM) method called the dual-criteria (DC) and conservative dual-criteria (CDC) methods. The accuracy of these visual inspection methods was compared with one another and with two statistical methods (Allison & Gorman, 1993; Gottman, 1981) using a computer-simulated Monte Carlo study. Results indicated that the DC and CDC methods controlled Type I error rates much better than the SM method and had considerably higher power (to detect real treatment effects) than the two statistical methods. In Study 2, brief verbal and written instructions with modeling were used to train 5 staff members to use the DC method, and in Study 3, these training methods were incorporated into a slide presentation and were used to rapidly (i.e., 15 min) train a large group of individuals (N = 87). Interpretation accuracy increased from a baseline mean of 55% to a treatment mean of 94% in Study 2 and from a baseline mean of 71% to a treatment mean of 95% in Study 3. Thus, Study 1 answered basic questions about the accuracy of several methods of interpreting A-B designs; Study 2 showed how that information could be used to increase the accuracy of human visual inspectors; and Study 3 showed how the training procedures from Study 2 could be modified into a format that would facilitate rapid training of large groups of individuals to interpret single-case designs.
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“Conservative dual-criterion (CDC; Fisher et al., 2003; Swoboda et al., 2010) analyses were also conducted to increase reliability of visual inspection.”
From Feasibility and preliminary outcomes of compassion-focused acceptance and commitment therapy delivered via telehealth in a community behavioral health clinic (2025) · cites this paper as Fisher et al., 2003
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Citations
Cites
Single-Case Research Designs: Methods for Clinical and Applied Settings
Kazdin, A. E. (1982) · Cited by 2,852
Single-case research designs: Methods for clinical and applied settings
Hayes, S. C. (1983) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/0005-7916(83)90018-6 · Cited by 2,677
Time-Series Analysis: A Comprehensive Introduction for Social Scientists
Cordray, D. S., & Gottman, J. M. (1983) · The American Journal of Psychology · doi:10.2307/1422219 · Cited by 416
Time Series Analysis: A Comprehensive Introduction for Social Scientists.
Ray, W. D., & Gottman, J. M. (1982) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2982108 · Cited by 316
Design and analysis of single-case research
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1208 · Cited by 297
“PERHAPS IT WOULD BE BETTER NOT TO KNOW EVERYTHING”1
Baer, D. M. (1977) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1977.10-167 · Cited by 279
INCONSISTENT VISUAL ANALYSES OF INTRASUBJECT DATA
DeProspero, A., & Cohen, S. (1979) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1979.12-573 · Cited by 260
Design and Analysis of Single-Case Research
(2014) · Psychology Press eBooks · doi:10.4324/9781315806402 · Cited by 244
TOWARD THE DEVELOPMENT OF STRUCTURED CRITERIA FOR INTERPRETATION OF FUNCTIONAL ANALYSIS DATA
Hagopian, L. P., Fisher, W. W., Thompson, R. H., Owen‐DeSchryver, J., Iwata, B. A., & Wacker, D. P. (1997) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1997.30-313 · Cited by 229
Self-citationMatyas, T. A., & Greenwood, K. M. (1990) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1990.23-341 · Cited by 222
Flagged first, then by citations
Research works printed but not linked: 4
- Crosbie J., 1987, The inability of the binomial test to control Type I error with single‐subject data, Behavioral Assessment, 9, 141
- Crosbie J., 1995, The analysis of change, 361
- Matyas T. A., 1996, Design and analysis of single case research, 215
- White O. R., 1974, The “split middle”—a “quickie” method of trend estimation
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Metadata
- Authors
- Fisher, W. W., Kelley, M. E., & Lomas, J. E.
- Affiliations
- Louisiana State University (US)
- Corresponding author
- Fisher, Wayne W.
- Venue
- Journal of Applied Behavior Analysis
- Publisher
- Wiley
- Published
- 2003-09
- Volume
- 36
- Issue
- 3
- Pages
- 387-406
- ISSN
- 0021-8855 (ISSN-L)
- 1938-3703
- PMC
- PMC1284456
- OpenAlex
- W2048320738
- Cited by
- 351
- References
- 28
- Citations by year
- 2026: 19 · 2025: 11 · 2024: 15 · 2023: 25 · 2022: 29 · 2021: 33 · 2020: 32 · 2019: 16 · 2018: 14 · 2017: 22 · 2016: 13 · 2015: 21 · 2014: 22 · 2013: 16 · 2012: 14
- FWCI
- 3.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Applied Behavior Analysis (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services (5 R01 HD37837-03)
- National Institutes of Health (5r01hd037837-03)
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (5 R01 HD37837-03)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Keywords
- visual inspection, single-case experimental design, type I error control, statistical power, interpreting accuracy, employee training, modeling, behavior analysis
- MeSH terms
- Audiovisual Aids, Behavior Therapy, Computer Graphics, Computer Simulation, Humans, Mathematical Computing, Monte Carlo Method, Outcome and Process Assessment, Health Care, Regression Analysis, Software, Reproducibility of Results, Observer Variation
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